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Improved Illumination Correction that Preserves Medium Sized Objects

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Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Illumination correction is a method used for removing the influence of light coming from the environment and of other distorting factors in the image capturing process. An algorithm based on the luminance mapping is proposed that can be used to remove low frequency variations in the intensity, and to increase the contrast in low contrast areas when necessary. Moreover, the algorithm can be employed to preserve the intensity of medium-sized objects with different intensity or colour than their surroundings, which otherwise would tend to be washed out. Furthermore, examples are given showing how the method can be used for both greyscale images and colour photos.
Rocznik
Strony
3--20
Opis fizyczny
Bibliogr. 31 poz., il., wykr.
Twórcy
autor
  • Department of Information Technology, Uppsala University, Uppsala, Sweden
autor
  • Consiglio Nazionale delle Ricerche, Institute of Informatics and Telematics, Pisa, Italy
Bibliografia
  • [1] Oppenheim, A.; Schafer, R.; Stockham, T., Jr.: Nonlinear filtering of multiplied and convolved signals. Audio and Electroacoustics, IEEE Transactions on, Volume: 16 Issue:3, pp. 437-466, 1968.
  • [2] Burt, P., J. and Adelson, E., H.: A multiresolution spline with application to image mosaics. Journal ACM Transactions on Graphics (TOG), Volume 2 Issue 4, 1983.
  • [3] Fahnestock, J. D. and Schowengerdt, R.A.: Spatially variant contrast enhancement using local range modification, Optical Engineering 22, pp. 378-381, 1983.
  • [4] Pizer, S. M., Amburn, E. P., Austin, J. D., Cromartie, R., Geselowitz, A., Greer, T., Romeny, B.T. H., Zimmerman, J. B. and Zuiderveld, K.: Adaptive histogram equalization and its variations. Computer Vision, Graphics, and Image Processing. Volume 39, Issue 3, September, pp. 355-368, 1987.
  • [5]Puff,D.T.,Pisano,E.D.,Muller,K.E.,Johnston,R.E.,Hemminger,B.M.,Burbeck,C.A., McLelland, R. and Pizer, S. M.: A Method for Determination of Optimal Image Enhancement for the Detection of Mammographic Abnormalities. Journal of Digital Imaging, Vol 7, No 4 (November), pp 161-171, 1994.
  • [6] Vrhel, M. J. and Trussell, H. J.: Filter considerations in color correction. IEEE Trans. Image Processing, vol. 3, pp. 147-161, Mar. 1994.
  • [7] Laine, A.; Jian Fan; Wuhai Yang: Wavelets for contrast enhancement of digital mammography. Engineering in Medicine and Biology Magazine, IEEE, Volume: 14 Issue:5. pp. 536 – 550, 1995.
  • [8] Reeves, T.H., Jernigan, M.E.: Multiscale-based image enhancement. Electrical and Computer Engineering. IEEE Canadian Conference on. Issue Date: 25-28 Vol 2. pp. 500-503, 1997.
  • [9] Young, I. T. Shading Correction: Compensation for Illumination and Sensor Inhomogeneities, Current Protocols in Cytometry. Pp 1-12, 2000.
  • [10] Hertzmann, A., Jacobs, C. E., Oliver, N., Curless, B, and Salesin, D. H.: Image Analogies. SIGGRAPH 2001 Conference Proceedings. pp. 327-340, 2001.
  • [11] Ko, J., Kim, E. and Byun, H.: A simple illumination algorithm for face recognition. Proceeding of PRICAI, pp. 532-541, 2002.
  • [12] Sidney F. R.: Applied photographic optics, 3rd ed., Focal Press, 2002.
  • [13] Yoon, J. H., Ro, Y. M.: Enhancement of the Contrast in Mammographic Images, using the Homomorphic Filter Method. INF. & SYST., VOL.E85-D, NO.1 JANUARY LETTER. pp. 298-303, 2002.
  • [14] Leong F. J. W-M., Brady, M., O’D McGee J.: Correction of uneven illumination (vignetting) in digital microscopy images J Clin Pathol. pp. 619 – 621, 2003.
  • [15] Pérez, P., Gangnet, M. and Blake, A.: Poisson Image Editing, Journal ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH, Volume 22 Issue 3, pp. 313-318, 2003.
  • [16] Tzelepis, N. and Nakos, B.: A Study on the Lighting Factors affecting Relief Presentation, Proceedings of the 21st International Cartographic Conference (ICC), pp. 1343-1350, 2003.
  • [17] Zhu, J., Liu, B. and Schwartz, S. C. General illumination correction and its application to face normalization. Proceeding of ICASSP. pp 133-136.
  • [18] Levin, A., Zomet, A., Peleg, S., Weiss, Y.: Seamless Image Stitching in the Gradient Domain. In ECCV (4) pp. 377-389, 2004.
  • [19] Yu. W. Practical anti-vignetting methods for digital cameras. IEEE Trans. on Cons. Elect., 50. Pp. 975-983, 2004.
  • [20] Goldman, D. B. and Chen, J. H.: Vignette and Exposure Calibration and Compensation. Proceedings of ICCV ’05, pp. 89-906, 2005.
  • [21] Pajares, G., Ruz, J. J. and de la Cruz, J. J.: Performance Analysis of Homomorphic Systems for Image Change Detection. Pattern Recognition and Image Analysis, LNCS, Volume 3522/2005, pp. 563-570, 2005.
  • [22] Rocchini, D. and Di Rita, A.: Relief effects on aerial photos geometric correction. Applied Geography 25. pp. 159-168, 2005.
  • [23] Yucong Guo, Xingming Zhang, Huangyuan Zhan, and Jing Song, A Novel Illumination Normalization Method for Face Recognition. Advances in Biometric Person Authentication, International Wokshop on Biometric Recognition Systems, IWBRS 2005, Beijing, China, Volume 3781, pp. 23-30, 2005.
  • [24] Zheng, Y., Lin, S., Kang. S. B. : Single-Image Vignetting Correction. Computer Vision and Pattern Recognition, IEEE Computer Society Conference. pp. 461-468, 2006.
  • [25] Agus, O.; Ozkan, M.; Aydin, K.: Elimination of RF Inhomogeneity Effects in Segmentation, Proceedings of the 29th Annual International Conference of the IEEE EMBS, pp. 2081-2084, 2007.
  • [26] Ardizzone, E., Pirrone, R., La Bua, S., Gambino, O.: Volumetric Bias Correction. Computer Vision/Computer Graphics Collaboration Techniques: MIRAGE 2007. LNCS, vol. 4418, pp. 525-533, 2007.
  • [27] Ashiba, H. I., Awadalla, K. H., El-Halfawy S. M., and Abd El-Samie F. E.-S.: Homomorphic enhancement of infrared images using the additive wavelet transform. Progress In Electromagnetics Research C, Vol. 1, pp. 123-130, 2008.
  • [28] Sonka, M., Hlavac, V. and Boyle, R.: Image Processing, Analysis, and Machine Vision. Thomson Learning, USA, pp.38, 2008.
  • [29] ERDAS Field Guide, pp. 525 (2010) http://www.erdas.com/Libraries/TechDocs/ERDASFieldGuide.sflb.ashx.
  • [30] Hast, A.; Marchetti, A.: Retrospective Illumination Correction of Greyscale Historical Aerial Photos. International Conference on Image Analysis and Processing, Poster. pp. 275-284, 2011.
  • [31] Russ, J.C.: The Image Processing Handbook, Sixth Edition, CRC Press. pp. 370, 2011.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-01299416-ce9f-4f83-8938-804c7415536c
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